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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the primary purpose of classification in machine learning?
💡 Hint: Think about the output of classification tasks.
Question 2
Easy
Name one algorithm used for classification.
💡 Hint: Remember, we discussed several algorithms.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What classification algorithm is suitable for binary outcomes?
- Decision Trees
- Logistic Regression
- KNN
💡 Hint: Think of how we categorize data types.
Question 2
True or False: K-Nearest Neighbors uses a single linear decision boundary.
- True
- False
💡 Hint: Consider how KNN looks at nearby points.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset with three features, how would you decide whether to use Logistic Regression or a Decision Tree?
💡 Hint: Visualize the relationships in your dataset.
Question 2
You have a binary classification problem, produce a confusion matrix and calculate accuracy, precision, and recall with sample values.
💡 Hint: Make sure you understand each term and formula.
Challenge and get performance evaluation